Phylogeographic variation in recombination rates within a global clone of methicillin-resistant Staphylococcus aureus


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Castillo-Ramirez S., Corander J., Marttinen P., Aldeljawi M., Hanage W. P., Westh H., ...Daha Fazla

GENOME BIOLOGY, cilt.13, sa.12, 2012 (SCI-Expanded) identifier identifier identifier

Özet

Background: Next-generation sequencing (NGS) is a powerful tool for understanding both patterns of descent over time and space (phylogeography) and the molecular processes underpinning genome divergence in pathogenic bacteria. Here, we describe a synthesis between these perspectives by employing a recently developed Bayesian approach, BRATNextGen, for detecting recombination on an expanded NGS dataset of the globally disseminated methicillin-resistant Staphylococcus aureus (MRSA) clone ST239.